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ORCIDMartín Ochoa
- > Home > Persons > Martín Ochoa
Publications
- 2023
[c55]David A. Basin
, Juan Guarnizo, Srdan Krstic, Hoang Nguyen Phuoc Bao, Martín Ochoa:
Is Modeling Access Control Worth It? CCS 2023: 2830-2844- 2019
- [j9]Ivan Homoliak, Flavio Toffalini, Juan Guarnizo, Yuval Elovici, Martín Ochoa:
Insight Into Insiders and IT: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures. ACM Comput. Surv. 52(2): 30:1-30:40 (2019) - 2018
- [j4]Athul Harilal, Flavio Toffalini, Ivan Homoliak, John Henry Castellanos, Juan Guarnizo, Soumik Mondal, Martín Ochoa:
The Wolf Of SUTD (TWOS): A Dataset of Malicious Insider Threat Behavior Based on a Gamified Competition. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 9(1): 54-85 (2018) - [i13]Ivan Homoliak, Flavio Toffalini, Juan Guarnizo, Yuval Elovici, Martín Ochoa:
Insight into Insiders: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures. CoRR abs/1805.01612 (2018) - 2017
- [c35]Athul Harilal, Flavio Toffalini, John Henry Castellanos, Juan Guarnizo, Ivan Homoliak, Martín Ochoa:
TWOS: A Dataset of Malicious Insider Threat Behavior Based on a Gamified Competition. MIST@CCS 2017: 45-56 - [c34]Juan David Guarnizo, Amit Tambe, Suman Sankar Bhunia, Martín Ochoa, Nils Ole Tippenhauer, Asaf Shabtai, Yuval Elovici:
SIPHON: Towards Scalable High-Interaction Physical Honeypots. CPSS@AsiaCCS 2017: 57-68 - [c29]Yair Meidan, Michael Bohadana, Asaf Shabtai, Juan David Guarnizo, Martín Ochoa, Nils Ole Tippenhauer, Yuval Elovici:
ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis. SAC 2017: 506-509 - [i10]Juan Guarnizo, Amit Tambe, Suman Sankar Bhunia, Martín Ochoa, Nils Ole Tippenhauer, Asaf Shabtai, Yuval Elovici:
SIPHON: Towards Scalable High-Interaction Physical Honeypots. CoRR abs/1701.02446 (2017) - [i6]Yair Meidan, Michael Bohadana, Asaf Shabtai, Martín Ochoa, Nils Ole Tippenhauer, Juan David Guarnizo, Yuval Elovici:
Detection of Unauthorized IoT Devices Using Machine Learning Techniques. CoRR abs/1709.04647 (2017)
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